{"record_type":"pith_number_record","schema_url":"https://pith.science/schemas/pith-number/v1.json","pith_number":"pith:2018:QBKE3LLIN5OYWR7Z4XNY4B75OV","short_pith_number":"pith:QBKE3LLI","schema_version":"1.0","canonical_sha256":"80544dad686f5d8b47f9e5db8e07fd754984bd776b7760dc305ec97b5051d855","source":{"kind":"arxiv","id":"1804.07691","version":1},"attestation_state":"computed","paper":{"title":"Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Kaixiang Mo, Pascale Fung, Qiang Yang, Yu Zhang","submitted_at":"2018-04-20T15:51:14Z","abstract_excerpt":"Dialogue policy transfer enables us to build dialogue policies in a target domain with little data by leveraging knowledge from a source domain with plenty of data. Dialogue sentences are usually represented by speech-acts and domain slots, and the dialogue policy transfer is usually achieved by assigning a slot mapping matrix based on human heuristics. However, existing dialogue policy transfer methods cannot transfer across dialogue domains with different speech-acts, for example, between systems built by different companies. Also, they depend on either common slots or slot entropy, which ar"},"verification_status":{"content_addressed":true,"pith_receipt":true,"author_attested":false,"weak_author_claims":0,"strong_author_claims":0,"externally_anchored":false,"storage_verified":false,"citation_signatures":0,"replication_records":0,"graph_snapshot":true,"references_resolved":false,"formal_links_present":false},"canonical_record":{"source":{"id":"1804.07691","kind":"arxiv","version":1},"metadata":{"license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","primary_cat":"cs.CL","submitted_at":"2018-04-20T15:51:14Z","cross_cats_sorted":["cs.AI"],"title_canon_sha256":"9dee2b79b2c2ba4d64cb9a69995b5a331518dc70101576fe92a98f3b2ba8df28","abstract_canon_sha256":"142bed61224fc20bbce69d0bc6ca4d64c999147db4e3d5d8b4fafee554245266"},"schema_version":"1.0"},"receipt":{"kind":"pith_receipt","key_id":"pith-v1-2026-05","algorithm":"ed25519","signed_at":"2026-05-18T00:17:58.059357Z","signature_b64":"Uu7VsH9/LeVK6sVvy5P7A0dm8eLvusvLo1ZR8ccGs019kkT/Tq+E6kcaPQC134uF1s1hhSOGPAZBCdSi/cBkDA==","signed_message":"canonical_sha256_bytes","builder_version":"pith-number-builder-2026-05-17-v1","receipt_version":"0.3","canonical_sha256":"80544dad686f5d8b47f9e5db8e07fd754984bd776b7760dc305ec97b5051d855","last_reissued_at":"2026-05-18T00:17:58.058791Z","signature_status":"signed_v1","first_computed_at":"2026-05-18T00:17:58.058791Z","public_key_fingerprint":"8d4b5ee74e4693bcd1df2446408b0d54"},"graph_snapshot":{"paper":{"title":"Cross-domain Dialogue Policy Transfer via Simultaneous Speech-act and Slot Alignment","license":"http://arxiv.org/licenses/nonexclusive-distrib/1.0/","headline":"","cross_cats":["cs.AI"],"primary_cat":"cs.CL","authors_text":"Kaixiang Mo, Pascale Fung, Qiang Yang, Yu Zhang","submitted_at":"2018-04-20T15:51:14Z","abstract_excerpt":"Dialogue policy transfer enables us to build dialogue policies in a target domain with little data by leveraging knowledge from a source domain with plenty of data. Dialogue sentences are usually represented by speech-acts and domain slots, and the dialogue policy transfer is usually achieved by assigning a slot mapping matrix based on human heuristics. However, existing dialogue policy transfer methods cannot transfer across dialogue domains with different speech-acts, for example, between systems built by different companies. Also, they depend on either common slots or slot entropy, which ar"},"claims":{"count":0,"items":[],"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"source":{"id":"1804.07691","kind":"arxiv","version":1},"verdict":{"id":null,"model_set":{},"created_at":null,"strongest_claim":"","one_line_summary":"","pipeline_version":null,"weakest_assumption":"","pith_extraction_headline":""},"references":{"count":0,"sample":[],"resolved_work":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57","internal_anchors":0},"formal_canon":{"evidence_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"author_claims":{"count":0,"strong_count":0,"snapshot_sha256":"258153158e38e3291e3d48162225fcdb2d5a3ed65a07baac614ab91432fd4f57"},"builder_version":"pith-number-builder-2026-05-17-v1"},"aliases":[{"alias_kind":"arxiv","alias_value":"1804.07691","created_at":"2026-05-18T00:17:58.058878+00:00"},{"alias_kind":"arxiv_version","alias_value":"1804.07691v1","created_at":"2026-05-18T00:17:58.058878+00:00"},{"alias_kind":"doi","alias_value":"10.48550/arxiv.1804.07691","created_at":"2026-05-18T00:17:58.058878+00:00"},{"alias_kind":"pith_short_12","alias_value":"QBKE3LLIN5OY","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_16","alias_value":"QBKE3LLIN5OYWR7Z","created_at":"2026-05-18T12:32:46.962924+00:00"},{"alias_kind":"pith_short_8","alias_value":"QBKE3LLI","created_at":"2026-05-18T12:32:46.962924+00:00"}],"events":[],"event_summary":{},"paper_claims":[],"inbound_citations":{"count":0,"internal_anchor_count":0,"sample":[]},"formal_canon":{"evidence_count":0,"sample":[],"anchors":[]},"links":{"html":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV","json":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV.json","graph_json":"https://pith.science/api/pith-number/QBKE3LLIN5OYWR7Z4XNY4B75OV/graph.json","events_json":"https://pith.science/api/pith-number/QBKE3LLIN5OYWR7Z4XNY4B75OV/events.json","paper":"https://pith.science/paper/QBKE3LLI"},"agent_actions":{"view_html":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV","download_json":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV.json","view_paper":"https://pith.science/paper/QBKE3LLI","resolve_alias":"https://pith.science/api/pith-number/resolve?arxiv=1804.07691&json=true","fetch_graph":"https://pith.science/api/pith-number/QBKE3LLIN5OYWR7Z4XNY4B75OV/graph.json","fetch_events":"https://pith.science/api/pith-number/QBKE3LLIN5OYWR7Z4XNY4B75OV/events.json","actions":{"anchor_timestamp":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV/action/timestamp_anchor","attest_storage":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV/action/storage_attestation","attest_author":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV/action/author_attestation","sign_citation":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV/action/citation_signature","submit_replication":"https://pith.science/pith/QBKE3LLIN5OYWR7Z4XNY4B75OV/action/replication_record"}},"created_at":"2026-05-18T00:17:58.058878+00:00","updated_at":"2026-05-18T00:17:58.058878+00:00"}